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使用无监督的3D Noise2Void Denoising网络进行快速多维成像

Ziling Jiang1, Yajun Yu2, Jingde Fang1

  • 1Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230026, China.

Analytical chemistry
|August 6, 2025
PubMed
概括

我们开发了一种3D Noise2Void深度学习方法,用于无监督地对无标签的生物成像数据进行无声化. 这种方法可以提高拉曼和相位成像中的信号噪声比,而不需要高质量的训练数据.

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